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  1. A Case Study on Computational Hermeneutics: E. J. Lowe’s Modal Ontological Argument.David Fuenmayor & Christoph Benzmueller - manuscript
    Computers may help us to better understand (not just verify) arguments. In this article we defend this claim by showcasing the application of a new, computer-assisted interpretive method to an exemplary natural-language ar- gument with strong ties to metaphysics and religion: E. J. Lowe’s modern variant of St. Anselm’s ontological argument for the existence of God. Our new method, which we call computational hermeneutics, has been particularly conceived for use in interactive-automated proof assistants. It aims at shedding light on the (...)
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  2. Arithmetic Logical Irreversibility and the Turing's Halt Problem.Yair Lapin - manuscript
    A new approach to the halting problem of the Turing machine using different interpretations of the Shannon measure of the information on the computational process represented as a distribution of events and defining a new concept of arithmetic logical irreversibility and memory erasure that generate uncertainty and computational improbability due to loss of information during computation. Different computational steps (input) can give the same result (next step, output) introducing thus information entropy in the computing process and uncertainty about the original (...)
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  3. What Can Philosophers Really Learn From Science Journals?Oliver M. Lean, Luca Rivelli & Charles H. Pence - manuscript
    Philosophers of science regularly use scientific publications in their research. To make their analyses of the literature more thorough, some have begun to use computational methods from the digital humanities. Yet this creates a tension: it’s become a truism in science studies that the contents of scientific publications do not accurately reflect the complex realities of scientific investigation. In this paper, we outline existing views on how scientific publications fit into the broader picture of science as a system of practices, (...)
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  4. Philosophy of Science, Network Theory, and Conceptual Change: Paradigm Shifts as Information Cascades.Patrick Grim, Joshua Kavner, Lloyd Shatkin & Manjari Trivedi - forthcoming - In Euel Elliot & L. Douglas Kiel (eds.), Complex Systems in the Social and Behavioral Sciences: Theory, Method, and Application. University of Michigan Press.
    Philosophers have long tried to understand scientific change in terms of a dynamics of revision within ‘theoretical frameworks,’ ‘disciplinary matrices,’ ‘scientific paradigms’ or ‘conceptual schemes.’ No-one, however, has made clear precisely how one might model such a conceptual scheme, nor what form change dynamics within such a structure could be expected to take. In this paper we take some first steps in applying network theory to the issue, modeling conceptual schemes as simple networks and the dynamics of change as cascades (...)
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  5. Theoretical Virtues in Scientific Practice: An Empirical Study.Moti Mizrahi - forthcoming - British Journal for the Philosophy of Science.
    It is a common view among philosophers of science that theoretical virtues (also known as epistemic or cognitive values), such as simplicity and consistency, play an important role in scientific practice. In this paper, I set out to study the role that theoretical virtues play in scientific practice empirically. I apply the methods of data science, such as text mining and corpus analysis, to study large corpora of scientific texts in order to uncover patterns of usage. These patterns of usage, (...)
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  6. Real Patterns and Indispensability.Abel Suñé & Manolo Martínez - forthcoming - Synthese 198 (5):4315-4330.
    While scientific inquiry crucially relies on the extraction of patterns from data, we still have a far from perfect understanding of the metaphysics of patterns—and, in particular, of what makes a pattern real. In this paper we derive a criterion of real-patternhood from the notion of conditional Kolmogorov complexity. The resulting account belongs to the philosophical tradition, initiated by Dennett :27–51, 1991), that links real-patternhood to data compressibility, but is simpler and formally more perspicuous than other proposals previously defended in (...)
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  7. Signaling in an Unknown World.Rafael Ventura - forthcoming - Erkenntnis:1-21.
    This paper proposes a sender-receiver model to explain two large-scale patterns observed in natural languages: Zipf’s inverse power law relating the frequency of word use and word rank, and the negative correlation between the frequency of word use and rate of lexical change. Computer simulations show that the model recreates Zipf’s inverse power law and the negative correlation between signal frequency and rate of change, provided that agents balance the rates with which they invent new signals and forget old ones. (...)
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  8. For and Against Scientism: Science, Methodology, and the Future of Philosophy.Moti Mizrahi (ed.) - 2022 - Rowman & Littlefield Publishers.
    The term scientism is used in several ways. It is used to denote an epistemological thesis according to which science is the source of our knowledge about the world and ourselves. Relatedly, it is used to denote a methodological thesis according to which the methods of science are superior to the methods of non-scientific fields or areas of inquiry, or even used to put forward a metaphysical thesis that what exists is what science says exists. In recent decades, the term (...)
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  9. Conceptions of Scientific Progress in Scientific Practice: An Empirical Study.Moti Mizrahi - 2021 - Synthese 199 (1-2):2375-2394.
    The aim of this paper is to contribute to the debate over the nature of scientific progress in philosophy of science by taking a quantitative, corpus-based approach. By employing the methods of data science and corpus linguistics, the following philosophical accounts of scientific progress are tested empirically: the semantic account of scientific progress, the epistemic account of scientific progress, and the noetic account of scientific progress. Overall, the results of this quantitative, corpus-based study lend some empirical support to the epistemic (...)
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  10. Philosophical Sentiments Toward Scientism: A Reply to Bryant.Moti Mizrahi - 2021 - Social Epistemology Review and Reply Collective 10 (11):19-24.
    In a reply to Mizrahi (2019), Bryant (2020) raises several methodological concerns regarding my attempt to test hypotheses about the observation that academic philosophers tend to find “scientism” threatening empirically using quantitative, corpus based methods. Chief among her methodological concerns is that numbers of philosophical publications that mention “scientism” are a “poor proxy for scholarly sentiment” (Bryant 2020, 31). In reply, I conduct a sentiment analysis that is designed to find out whether academic philosophers have negative, positive, or neutral sentiments (...)
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  11. The Analytic-Continental Divide in Philosophical Practice: An Empirical Study.Moti Mizrahi & Mike Dickinson - 2021 - Metaphilosophy 52 (5):668-680.
  12. Extended Computation: Wide Computationalism in Reverse.Paul Smart, Wendy Hall & Michael Boniface - 2021 - Proceedings of the 13th ACM Web Science Conference (Companion Volume).
    Arguments for extended cognition and the extended mind are typically directed at human-centred forms of cognitive extension—forms of cognitive extension in which the cognitive/mental states/processes of a given human individual are subject to a form of extended or wide realization. The same is true of debates and discussions pertaining to the possibility of Web-extended minds and Internet-based forms of cognitive extension. In this case, the focus of attention concerns the extent to which the informational and technological elements of the online (...)
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  13. Philosophie de la simulation et finitude.Franck Varenne - 2021 - Revue Philosophique de la France Et de l'Etranger 2 (146):183-201.
    This study shows firstly that it is necessary to characterize a computer simulation at a finer level than that of formal models: that of symbols and their various modes of reference. This is particularly true for those that integrate models and formalisms of a heterogeneous nature. This study then examines the ontological causes that, consequently, could explain their epistemic success. It is argued that they can be conveniently explained if one adopts a conception of nature that is both discontinuous and (...)
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  14. Seven Properties of Self-Organization in the Human Brain.Birgitta Dresp-Langley - 2020 - Big Data and Cognitive Computing 2 (4):10.
    The principle of self-organization has acquired a fundamental significance in the newly emerging field of computational philosophy. Self-organizing systems have been described in various domains in science and philosophy including physics, neuroscience, biology and medicine, ecology, and sociology. While system architecture and their general purpose may depend on domain-specific concepts and definitions, there are (at least) seven key properties of self-organization clearly identified in brain systems: 1) modular connectivity, 2) unsupervised learning, 3) adaptive ability, 4) functional resiliency, 5) functional plasticity, (...)
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  15. Representation in Models of Epistemic Democracy.Patrick Grim, Aaron Bramson, Daniel J. Singer, William J. Berger, Jiin Jung & Scott E. Page - 2020 - Episteme 17 (4):498-518.
    Epistemic justifications for democracy have been offered in terms of two different aspects of decision-making: voting and deliberation, or ‘votes’ and ‘talk.’ The Condorcet Jury Theorem is appealed to as a justification in terms votes, and the Hong-Page “Diversity Trumps Ability” result is appealed to as a justification in terms of deliberation. Both of these, however, are most plausibly construed as models of direct democracy, with full and direct participation across the population. In this paper, we explore how these results (...)
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  16. Hypothesis Testing in Scientific Practice: An Empirical Study.Moti Mizrahi - 2020 - International Studies in the Philosophy of Science 33 (1):1-21.
    It is generally accepted among philosophers of science that hypothesis testing is a key methodological feature of science. As far as philosophical theories of confirmation are con...
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  17. Proof, Explanation, and Justification in Mathematical Practice.Moti Mizrahi - 2020 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 51 (4):551-568.
    In this paper, I propose that applying the methods of data science to “the problem of whether mathematical explanations occur within mathematics itself” (Mancosu 2018) might be a fruitful way to shed new light on the problem. By carefully selecting indicator words for explanation and justification, and then systematically searching for these indicators in databases of scholarly works in mathematics, we can get an idea of how mathematicians use these terms in mathematical practice and with what frequency. The results of (...)
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  18. Syntax, Semantics, and Computer Programs.William J. Rapaport - 2020 - Philosophy and Technology 33 (2):309-321.
    Turner argues that computer programs must have purposes, that implementation is not a kind of semantics, and that computers might need to understand what they do. I respectfully disagree: Computer programs need not have purposes, implementation is a kind of semantic interpretation, and neither human computers nor computing machines need to understand what they do.
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  19. Contrastando reconstrucciones con herramientas computacionales: una aplicación a la cladística.Ariel Jonathan Roffé - 2020 - Dissertation, Universidad de Buenos Aires (UBA)
  20. Divide Et Impera: Modeling the Relationship Between Canonical and Noncanonical Authors in the Early Modern Natural Philosophy Network.Andrea Sangiacomo & Daan Beers - 2020 - Hopos: The Journal of the International Society for the History of Philosophy of Science 10 (2):365-413.
  21. History of Philosophy in Ones and Zeros.Arianna Betti, Hein Van Den Berg, Yvette Oortwijn & Caspar Treijtel - 2019 - In M. Curtis & Eugen Fischer (eds.), Methodological Advances in Experimental Philosophy. Londen, Verenigd Koninkrijk: pp. 295-332.
    How can we best reconstruct the origin of a notion, its development, and possible spread to multiple fields? We present a pilot study on the spread of the notion of conceptual scheme. Though the notion is philosophically important, its origin, development, and spread are unclear. Several purely qualitative and competing historical hypotheses have been offered, which rely on disconnected disciplinary traditions, and have never been tested all at once in a single comprehensive investigation fitting the scope of its subject matter. (...)
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  22. Modeling Epistemology: Examples and Analysis in Computational Philosophy of Science.Patrick Grim - 2019 - In A. Del Barrio, C. J. Lynch, F. J. Barros & X. Hu (eds.), IEEE SpringSim Proceedings 2019. IEEE. pp. 1-12.
    What structure of scientific communication and cooperation, between what kinds of investigators, is best positioned to lead us to the truth? Against an outline of standard philosophical characteristics and a recent turn to social epistemology, this paper surveys highlights within two strands of computational philosophy of science that attempt to work toward an answer to this question. Both strands emerge from abstract rational choice theory and the analytic tradition in philosophy of science rather than postmodern sociology of science. The first (...)
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  23. Editorial Introduction to the Topical Issue “Computer Modeling in Philosophy”.Patrick Grim - 2019 - Open Philosophy 2 (1):653-656.
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  24. Diversity, Ability, and Expertise in Epistemic Communities.Patrick Grim, Daniel J. Singer, Aaron Bramson, Bennett Holman, Sean McGeehan & William J. Berger - 2019 - Philosophy of Science 86 (1):98-123.
    The Hong and Page ‘diversity trumps ability’ result has been used to argue for the more general claim that a diverse set of agents is epistemically superior to a comparable group of experts. Here we extend Hong and Page’s model to landscapes of different degrees of randomness and demonstrate the sensitivity of the ‘diversity trumps ability’ result. This analysis offers a more nuanced picture of how diversity, ability, and expertise may relate. Although models of this sort can indeed be suggestive (...)
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  25. Growing Evidence That Perceptual Qualia Are Neuroelectrical Not Computational.Mostyn W. Jones - 2019 - Journal of Consciousness Studies 26 (5-6):89-116.
    Computational neuroscience attributes coloured areas and other perceptual qualia to calculations that are realizable in multiple cellular forms. This faces serious issues in explaining how the various qualia arise and how they bind to form overall perceptions. Qualia may instead be neuroelectrical. Growing evidence indicates that perceptions correlate with neuroelectrical activity spotted by locally activated EEGs, the different qualia correlate with the different electrochemistries of unique detector cells, a unified neural-electromagnetic field binds this activity to form overall perceptions, and this (...)
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  26. A Multidisciplinary Understanding of Polarization.Jiin Jung, Patrick Grim, Daniel J. Singer, Aaron Bramson, William J. Berger, Bennett Holman & Karen Kovaka - 2019 - American Psychologist 74:301-314.
    This article aims to describe the last 10 years of the collaborative scientific endeavors on polarization in particular and collective problem-solving in general by our multidisciplinary research team. We describe the team’s disciplinary composition—social psychology, political science, social philosophy/epistemology, and complex systems science— highlighting the shared and unique skill sets of our group members and how each discipline contributes to studying polarization and collective problem-solving. With an eye to the literature on team dynamics, we describe team logistics and processes that (...)
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  27. What Isn’T Obvious About ‘Obvious’: A Data-Driven Approach to Philosophy of Logic.Moti Mizrahi - 2019 - In Andrew Aberdein & Matthew Inglis (eds.), Advances in Experimental Philosophy of Logic and Mathematics. London: Bloomsbury Press. pp. 201-224.
    It is often said that ‘every logical truth is obvious’ (Quine 1970: 82), that the ‘axioms and rules of logic are true in an obvious way’ (Murawski 2014: 87), or that ‘logic is a theory of the obvious’ (Sher 1999: 207). In this chapter, I set out to test empirically how the idea that logic is obvious is reflected in the scholarly work of logicians and philosophers of logic. My approach is data-driven. That is to say, I propose that systematically (...)
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  28. Don’T Forget Forgetting: The Social Epistemic Importance of How We Forget.Daniel J. Singer, Aaron Bramson, Patrick Grim, Bennett Holman, Karen Kovaka, Jiin Jung & William J. Berger - 2019 - Synthese 198 (6):5373-5394.
    We motivate a picture of social epistemology that sees forgetting as subject to epistemic evaluation. Using computer simulations of a simple agent-based model, we show that how agents forget can have as large an impact on group epistemic outcomes as how they share information. But, how we forget, unlike how we form beliefs, isn’t typically taken to be the sort of thing that can be epistemically rational or justified. We consider what we take to be the most promising argument for (...)
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  29. ¿Qué significa paraconsistente, indescifrable, aleatorio, computable e incompleto? Una revisión de’ la Manera de Godel: explota en un mundo indecible’ (Godel’s Way: Exploits into an Undecidable World) por Gregory Chaitin, Francisco A Doria, Newton C.A. da Costa 160p (2012) (revisión revisada 2019).Michael Richard Starks - 2019 - In Delirios Utópicos Suicidas en el Siglo 21 La filosofía, la naturaleza humana y el colapso de la civilización Artículos y reseñas 2006-2019 4a Edición. Las Vegas, NV USA: Reality Press. pp. 263-277.
    En ' Godel’s Way ', tres eminentes científicos discuten temas como la indecisión, la incompleta, la aleatoriedad, la computabilidad y la paracoherencia. Me acerco a estas cuestiones desde el punto de vista de Wittgensteinian de que hay dos cuestiones básicas que tienen soluciones completamente diferentes. Existen las cuestiones científicas o empíricas, que son hechos sobre el mundo que necesitan ser investigados Observacionalmente y cuestiones filosóficas en cuanto a cómo el lenguaje se puede utilizar inteligiblemente (que incluyen ciertas preguntas en matemáticas (...)
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  30. Bayesvl: Visually Learning the Graphical Structure of Bayesian Networks and Performing MCMC with 'Stan'.Quan-Hoang Vuong & Viet-Phuong La - 2019 - Open Science Framework 2019:01-47.
  31. Show Me the Argument: Empirically Testing the Armchair Philosophy Picture.Zoe Ashton & Moti Mizrahi - 2018 - Metaphilosophy 49 (1-2):58-70.
    Many philosophers subscribe to the view that philosophy is a priori and in the business of discovering necessary truths from the armchair. This paper sets out to empirically test this picture. If this were the case, we would expect to see this reflected in philosophical practice. In particular, we would expect philosophers to advance mostly deductive, rather than inductive, arguments. The paper shows that the percentage of philosophy articles advancing deductive arguments is higher than those advancing inductive arguments, which is (...)
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  32. Intuition Talk is Not Methodologically Cheap: Empirically Testing the “Received Wisdom” About Armchair Philosophy.Zoe Ashton & Moti Mizrahi - 2018 - Erkenntnis 83 (3):595-612.
    The “received wisdom” in contemporary analytic philosophy is that intuition talk is a fairly recent phenomenon, dating back to the 1960s. In this paper, we set out to test two interpretations of this “received wisdom.” The first is that intuition talk is just talk, without any methodological significance. The second is that intuition talk is methodologically significant; it shows that analytic philosophers appeal to intuition. We present empirical and contextual evidence, systematically mined from the JSTOR corpus and HathiTrust’s Digital Library, (...)
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  33. Computers Aren’T Syntax All the Way Down or Content All the Way Up.Cem Bozşahin - 2018 - Minds and Machines 28 (3):543-567.
    This paper argues that the idea of a computer is unique. Calculators and analog computers are not different ideas about computers, and nature does not compute by itself. Computers, once clearly defined in all their terms and mechanisms, rather than enumerated by behavioral examples, can be more than instrumental tools in science, and more than source of analogies and taxonomies in philosophy. They can help us understand semantic content and its relation to form. This can be achieved because they have (...)
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  34. Diversity and Democracy: Agent-Based Modeling in Political Philosophy.Bennett Holman, William Berger, Daniel J. Singer, Patrick Grim & Aaron Bramson - 2018 - Historical Social Research 43:259-284.
    Agent-based models have played a prominent role in recent debates about the merits of democracy. In particular, the formal model of Lu Hong and Scott Page and the associated “diversity trumps ability” result has typically been seen to support the epistemic virtues of democracy over epistocracy (i.e., governance by experts). In this paper we first identify the modeling choices embodied in the original formal model and then critique the application of the Hong-Page results to philosophical debates on the relative merits (...)
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  35. How to Do Digital Philosophy of Science.Charles Pence & Grant Ramsey - 2018 - Philosophy of Science 85 (5):930-941.
    Philosophy of science is beginning to be expanded via the introduction of new digital resources—both data and tools for its analysis. The data comprise digitized published books and journal articles, as well as heretofore unpublished and recently digitized material, such as images, archival text, notebooks, meeting notes, and programs. This growing bounty of data would be of little use, however, without quality tools with which to analyze it. Fortunately, the growth in available data is matched by the extensive development of (...)
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  36. A Philosophical Perspective on Visualization for Digital Humanities.Hein Van Den Berg, Arianna Betti, Thom Castermans, Rob Koopman, Bettina Speckmann, K. A. B. Verbeek, Titia Van der Werf, Shenghui Wang & Michel A. Westenberg - 2018 - 3rd Workshop on Visualization for the Digital Humanities.
    In this position paper, we describe a number of methodological and philosophical challenges that arose within our interdisciplinary Digital Humanities project CatVis, which is a collaboration between applied geometric algorithms and visualization researchers, data scientists working at OCLC, and philosophers who have a strong interest in the methodological foundations of visualization research. The challenges we describe concern aspects of one single epistemic need: that of methodologically securing (an increase in) trust in visualizations. We discuss the lack of ground truths in (...)
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  37. Energy Efficiency Multi Task Offloading and Resource Allocation in Mobile Edge Computing.LiHuanjie Zang - 2018 - International Journal of Computer Techniques 5 (1):5-14.
    On edge computing, mobile devices can offload some computing intensive tasks to the cloud so that the time delay and battery losses can be reduced. Different from cloud computing, an edge computing model is under the constraint of radio transmitting bandwidth, power and etc. With regard to most models in presence, each user is assigned to a single mission, transmitting power or local CPU frequency on mobile terminals is deemed to be a constant. Furthermore, energy consumption has a positive correlation (...)
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  38. @PhilosTEI: Building Corpora for Philosophers.Arianna Betti, Martin Reynaert & Hein Van Den Berg - 2017 - In J. Odijk & A. Van Hessen (eds.), Clarin in the Low Countries. Londen, Verenigd Koninkrijk: pp. 379-392.
    The step to e-research in philosophy depends on the availability of high quality, easily and freely accessible corpora in a sustainable format composed from multi-language, multi-script books from different historical periods. Corpora matching these needs are at the moment virtually non-existing. Within @PhilosTei, we have addressed this corpus building problem by developing an open source, web-based, user-friendly workflow from textual images to TEI, based on state-of-the-art open source OCR software, to wit Tesseract, and a multi-language version of TICCL, a powerful (...)
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  39. Anselm's God in Isabelle/HOL.Ben Blumson - 2017 - Archive of Formal Proofs:9.
    Paul Oppenheimer and Edward Zalta's formalisation of Anselm's ontological argument for the existence of God is automated by embedding a free logic for definite descriptions within Isabelle/HOL.
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  40. La philosophie entre intuition et empirie: comment les études du texte peuvent contribuer à renouveler la réflexion philosophique.Louis Chartrand - 2017 - Artichaud Magazine 2017 (8 juin).
  41. David Lewis and the Kangaroo: Graphing Philosophical Progress.Benj Hellie - 2017 - In Russell Blackford & Damien Broderick (eds.), Philosophy's Future: The Problem of Philosophical Progress. Oxford: Blackwell.
    Data-driven historiography of philosophy looks to objective modeling tools for illumination of the propagation of influence. While the system of David Lewis, the most influential philosopher of our time, raises historiographic puzzles to stymie conventional analytic methods, it proves amenable to data-driven analysis. A striking result is that Lewis only becomes the metaphysician of current legend following the midpoint of his career: his initial project is to frame a descriptive science of mind and meaning; the transition to metaphysics is a (...)
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  42. Exploration and Exploitation of Victorian Science in Darwin’s Reading Notebooks.Jaimie Murdock, Colin Allen & Simon DeDeo - 2017 - Cognition 159:117-126.
    Search in an environment with an uncertain distribution of resources involves a trade-off between exploitation of past discoveries and further exploration. This extends to information foraging, where a knowledge-seeker shifts between reading in depth and studying new domains. To study this decision-making process, we examine the reading choices made by one of the most celebrated scientists of the modern era: Charles Darwin. From the full-text of books listed in his chronologically-organized reading journals, we generate topic models to quantify his local (...)
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  43. Humeanism and Exceptions in the Fundamental Laws of Physics.Billy Wheeler - 2017 - Principia: An International Journal of Epistemology 21 (3):317-337.
    It has been argued that the fundamental laws of physics do not face a ‘problem of provisos’ equivalent to that found in other scientific disciplines (Earman, Roberts and Smith 2002) and there is only the appearance of exceptions to physical laws if they are confused with differential equations of evolution type (Smith 2002). In this paper I argue that even if this is true, fundamental laws in physics still pose a major challenge to standard Humean approaches to lawhood, as they (...)
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  44. Towards a Computational History of Ideas.Arianna Betti & Hein Van Den Berg - 2016 - CEUR Workshop Proceedings, 1681.
    The History of Ideas is presently enjoying a certain renaissance after a long period of disrepute. Increasing quantities of digitally available historical texts and the availability of computational tools for the exploration of such masses of sources, it is suggested, can be of invaluable help to historians of ideas. The question is: how exactly? In this paper, we argue that a computational history of ideas is possible if the following two conditions are satisfied: (i) Sound Method . A computational history (...)
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  45. A Universal Socio-Technical Computing Machine.Markus Luczak-Roesch, Ramine Tinati, Saud Aljaloud, Wendy Hall & Nigel Shadbolt - 2016 - In International Conference on Web Engineering.
    This is an attempt to develop a universal socio-technical computing machine that captures and coordinates human input to let collective problem solving activities emerge on the Web without the need for an a priori composition of a dedicated task or human collective.
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  46. Machine Epistemology and Big Data.Gregory Wheeler - 2016 - In Lee McIntyre & Alex Rosenburg (eds.), Routledge Companion to Philosophy of Social Science. Routledge.
    In the age of big data and a machine epistemology that can anticipate, predict, and intervene on events in our lives, the problem once again is that a few individuals possess the knowledge of how to regulate these activities. But the question we face now is not how to share such knowledge more widely, but rather of how to enjoy the public benefits bestowed by this knowledge without freely sharing it. It is not merely personal privacy that is at stake (...)
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  47. Semantical Mutation, Algorithms and Programs.Porto André - 2015 - Dissertatio (S1):44-76.
    This article offers an explanation of perhaps Wittgenstein’s strangest and least intuitive thesis – the semantical mutation thesis – according to which one can never answer a mathematical conjecture because the new proof alters the very meanings of the terms involved in the original question. Instead of basing our justification on the distinction between mere calculation and proofs of isolated propositions, characteristic of Wittgenstein’s intermediary period, we generalize it to include conjectures involving effective procedures as well.
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  48. Machines and Scientific Method.Piotr Giza - 2013 - Filozofia Nauki 21 (2):75 - +.
  49. Computational Perspectives in the History of Science: To the Memory of Peter Damerow.Manfred Laubichler, Jane Maienschein & Jürgen Renn - 2013 - Isis 104:119-130.
    Computational methods and perspectives can transform the history of science by enabling the pursuit of novel types of questions, dramatically expanding the scale of analysis , and offering novel forms of publication that greatly enhance access and transparency. This essay presents a brief summary of a computational research system for the history of science, discussing its implications for research, education, and publication practices and its connections to the open-access movement and similar transformations in the natural and social sciences that emphasize (...)
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  50. A Unified Cognitive Model of Visual Filling-In Based on an Emergic Network Architecture.David Pierre Leibovitz - 2013 - Dissertation, Carleton University
    The Emergic Cognitive Model (ECM) is a unified computational model of visual filling-in based on the Emergic Network architecture. The Emergic Network was designed to help realize systems undergoing continuous change. In this thesis, eight different filling-in phenomena are demonstrated under a regime of continuous eye movement (and under static eye conditions as well). -/- ECM indirectly demonstrates the power of unification inherent with Emergic Networks when cognition is decomposed according to finer-grained functions supporting change. These can interact to raise (...)
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